Build a complete, production-ready, unabridged Python and Py...

Prompt

Build a complete, production-ready, unabridged Python and PyTorch software system for automated cinematic audiovisual decomposition, open-vocabulary 3D material and kinematic analysis, and differentiable visual-effects synthesis. The architecture must bypass conventional, brittle 2D pixel heuristics (such as standard Farneback optical flow, Hough transforms, and static skeleton thresholds) in favor of a Shot-Segmented 4D Dynamic Neural Field, Metric 3D Biomechanical Inverse Kinematics, Open-Vocabulary Language-Embedded 3D Feature Fields, and a Differentiable GPU Shader Graph. All files, mathematical transformations, data models, and API interfaces must be fully written out in production-grade code. Absolutely no placeholders, mock implementations, truncated routines, or synthetic stubs are permitted. SYSTEM ARCHITECTURE AND FILE MANIFEST cinematic_engine/ config.py: Global hardware, model, and execution parameters main.py: CLI entry point and pipeline orchestrator ingestion/ __init__.py video_demux.py: Hardware-accelerated FFmpeg decode to NVMM and CUDA buffers audio_stems.py: Source separation and transient extraction shot_topology.py: Graph-based cut detection and shot-boundary segmentation spatial_4d/ __init__.py camera_solver.py: Per-shot SE(3) trajectory, intrinsics, and radial distortion gaussian_fields.py: Dynamic 4D Gaussian Splatting and volumetric scattering language_features.py: 3D open-vocabulary feature field distillation (LERF / CLIP) kinematics/ __init__.py smplx_fitter.py: Metric 3D joint rotation and spinal curvature solver choreo_classifier.py: Lie-algebra temporal gesture and contortion classifier typography/ __init__.py detector.py: Differentiable character-mask segmentation and fractal erosion text_engine.py: Kinetic screen-space tracking, OCR, and semantic tagging vfx_pipeline/ __init__.py color_grading.py: Differentiable Bleach Bypass, Hue Isolator, and Shadow Clamping optical_fx.py: Multi-scale Black Pro-Mist halation and volumetric god rays film_grain.py: Photochemical emulsion spectral grain synthesizer catalog/ __init__.py schema.py: Pydantic v2 JSON Schema v1.0.0 validated data models serializer.py: Bilingual HU and EN descriptive compiler and vector indexer TECHNICAL AND ALGORITHMIC DIRECTIVES 1. Ingestion and Shot-Topology Partitioning Video Demuxing: Ingest raw video into unified PyTorch float32 GPU memory tensors in range [0.0, 1.0], RGB format, shape (B, C, H, W). Audio Stem Decomposition: Decompose the soundtrack into isolated transient percussive and harmonic vocal stems using source separation. Compute onset novelty envelopes for the percussive stem. Shot-Boundary Graph: Segment media into disjoint spatiotemporal sub-sequences using high-dimensional cosine distance across sequential frame embeddings. Correlate edit points with percussive onset spikes within a 40 ms window to classify beat-synchronized cuts. 2. Per-Shot 4D Neural Scene Decomposition and Material Semantics For each continuous shot, initialize an independent 4D dynamic representation. Camera Kinematics and Lens Solver: Jointly solve continuous camera pose in SE(3) and time-varying focal length with 2-parameter radial distortion: r_d = r * (1 + k1 * r^2 + k2 * r^4). Trajectory Classification: Orbital Track: Flag when the angular velocity vector maintains a continuous sign over a total angle greater than or equal to pi radians relative to the central foreground anchor point. Kinetic Handheld Jitter: Compute power spectral density of rotational acceleration. Classify as handheld if spectral power above 4 Hz exceeds the jitter threshold. Camera Elevation and Dutch Tilt: Compute camera roll angle. Classify as Dutch angle when absolute roll is between 5 degrees and 45 degrees. Classify low-angle hero perspective when camera pitch angle is below -10 degrees relative to the subject ground plane. Volumetric Light and Atmospheric Scattering: Parameterize scene volume with time-varying 3D Gaussians coupled with participating media density. Volumetric Crepuscular Rays: Compute spatial density variance along dominant directional light vectors. Flag god rays when line-integral scattering exceeds local ambient volume by more than 3 standard deviations. Chiaroscuro Quantification: Decompose local environment radiance into spherical harmonic coefficients. Calculate the low-key ratio as the ratio of irradiance below 0.15 cd/m^2 to total hemispherical irradiance. Open-Vocabulary 3D Material Feature Fields: Distill dense multi-scale vision-language embeddings directly into the 3D Gaussian field representation. Perform 3D ray-queried zero-shot cosine similarity segmentation for target material prompts: - "hand-folded geometric white paper origami bonnet and cornette" - "monumental shredded crimson red metallic foil tinsel fringe dress" - "deconstructed sand-beige gabardine trench coat with asymmetric tartan ruffles" - "maximalist multi-tiered Byzantine gem-encrusted crown and beaded wearable sculpture" - "acid chartreuse and black dotted houndstooth structured pagoda wing shoulders" 3. 3D Biomechanical Kinematics and Choreography Classification Metric SMPL-X Tracking: Recover full 3D body, facial expression, and articulated hand joints for all on-screen performers in physical metric units with SO(3) rotation matrices per joint. Choreography Classification: Contortionism: Compute total geodesic spine flexion across pelvis, spine segments, and neck. Flag contortionism when total flexion exceeds 1.85 radians or when the dot product of the thoracic normal and pelvic normal drops below -0.2. Voguing and Whacking Hand-Framing: Compute metric wrist linear velocity and angular acceleration. Flag face-framing voguing when wrist speed exceeds 2.5 m/s while constrained within a bounding radius under 0.28 meters from the cranial centroid. 4. Distressed Kinetic Typography Pipeline Character Localization and Edge Erosion: Segment text regions using differentiable boundary extraction. Compute fractal boundary dimension via box-counting across character edges. Classify text as distressed or etched when the fractal dimension exceeds 1.35. Temporal Tracking and Semantics: Track text regions across frame sequences using screen-space bounding boxes. Perform OCR and classify semantic intent, including director credit, creative director credit, production company, artist logo, and song title. 5. Vectorized VFX Shader and Grading Engine Implement GPU-accelerated PyTorch and CUDA tensor processing passes operating on normalized float32 images from 0.0 to 1.0. Differentiable Bleach Bypass: Compute luminance L = 0.2126*R + 0.7152*G + 0.0722*B. Apply overlay blend between luminance and original color. Clamp blacks strictly to absolute zero (0.0 IRE) to enforce crushed, high-contrast shadows. Selective Dual-Band Hue Isolation: Transform RGB to cylindrical HSV space. Apply a differentiable smooth Gaussian hue acceptance mask for crimson red centered at hue 0.00 and chartreuse centered at hue 0.21. Suppress background saturation to 10% of original levels outside these bands. Multi-Scale Black Pro-Mist Halation: Extract luminance highlight mask above 0.80. Convolve with a bank of 2D Gaussian kernels with sigmas 4, 8, 16, 32, and 64. Composite bloom over source via screen blend without lifting black levels. Photochemical Emulsion Film Grain: Synthesize spatial noise matching 35mm grain size. Modulate local grain amplitude by a parabolic tonal response curve G(L) = (4L*(1 - L))^gamma, preserving pure blacks and peak whites without noise lifting. Temporal Undercranking Decimation: Subsample video streams to non-standard temporal rates between 12 and 16 fps without temporal frame interpolation, generating abrupt, frantic visual cadence. 6. Bilingual Pydantic v2 Schema Compilation Define strict Pydantic v2 data models conforming to JSON Schema v1.0.0. Every detected entity, bounding box, relationship, activity, lighting style, and camera movement must be fully validated. Map visual and material metrics directly into bilingual structures: Generate full Hungarian (HU) and English (EN) text fields for scene descriptions, foreground, midground, background segmentation, visual mood arrays, and object descriptors. Compile the complete retrieval index containing Hungarian and English short and detailed summaries, targeted keyword arrays, synonyms, natural language search queries, and high-dimensional semantic embedding strings. Only complete files and comments are allowed! I forbid any simplified, mock, placeholder, dummy, simulated, incomplete, or unoptimized production-ready code. It must not be truncated, and there must be no instances of … or similar. 50 xy must not be a dummy, “to do,” or “sorry” placeholder. You must provide the complete code for every file; do not write anything else besides that.